The first step in data analysis will be exploring sociodemographic features of the respondents in long-term care facilities. The stage will entail creating distribution tables and graphs. The representations will be complemented by measures of proportionality, where the central focus will be frequencies and percentages. The descriptive statistics will be critical in understanding the trends in responses as well as discussing the participants (Holcomb, 2016).
Data Analysis Plan for Study Variables
Another important aspect of the analysis process will be summarizing the data in a way that captures all the essential characteristics. One of the fundamental steps will be establishing simple graphical analysis through the use of frequency distribution tables based on sex, age, ethnoracial backgrounds, type of mattress, and cases of bedsores. Another descriptive statistics will be measures of central tendency (mode and mean) to show averages and other general trends within the data set. The measures of dispersion will also find an enormous role in highlighting the spread of the data as well as how variables are related (Healey, 2014). For instance, crosstabs will be used to explore bivariate relationships. Unlike frequency tables that capture only one study aspect, cross tabulation captures many variables. The descriptive analysis will provide foreknowledge on patterns as well as insights on distinctive takeaways from the responses. The descriptive statistics will also harmonize results of the demographic and study variables in one diagrammatic representation, providing perspicacity that will shape the centrality of inferential statistics.
Inferential statistics will be used in deducing trends in the responses, a utility that will guide the conclusion and generalizability of the results (Peck, Olsen, & Devore, 2015). Linear regression and logistic regression are the preferred approaches to conducting the test of significance and exploring possibilities of congruence between the responses and the current stock of knowledge.